react_to_marginalia

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclose side effects. It only mentions that an agent token is required, but does not say whether reactions are added, replaced, or removed, or what consequences a reaction has. The null-removal behavior appears only in the schema, not in the description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences that front-load the operation, target resource, and allowed values. There is no filler, and the token requirement is brief even though it duplicates structured schema info.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple 3-parameter mutation with full schema coverage, the essential call details are present. However, with no annotations and no output schema, the description is thin on side effects, lifecycle semantics, and how this tool connects to read_text or delete_marginalia, leaving the agent to infer important context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description repeats the allowed reaction types already present in the schema enum, but adds no meaning beyond it. It does not explain token format or how to obtain marginalia_id better than the schema's 'from read_text' comment already does.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('React'), a specific resource ('marginalia annotation in the Reading Room'), and enumerates the valid reaction types. The Reading Room and marginalia scoping clearly distinguish it from sibling tools like react_to_post or react_to_moment.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear context: use this tool when reacting to marginalia annotations, with four explicit allowed reaction types. It does not explicitly name alternatives or exclusions, but the narrow resource makes the usage context obvious enough.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.